class_docstr: Sentence-level relation extraction dataset
code: def collate_fn(data):
      data = list(zip(*data))
      labels = data[0]
      seqs = data[1:]
      batch_labels = torch.tensor(labels).long()  # (B)
      batch_seqs = []
      for seq in seqs:
          batch_seqs.append(torch.cat(seq, 0))  # (B, L)
      return [batch_labels] + batch_seqs
  
imports: import torch
  import torch.utils.data
  import os, random, json, logging
  import numpy
  import sklearn.metrics
label_desc: Use image node_id 4 for calling the MultiLabelSentenceREDataset obj's underlying member method code with example usage: obj.collate_fn(data) and returns: unknown